Malcolm Whiteway

14.4k total citations
192 papers, 11.2k citations indexed

About

Malcolm Whiteway is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Malcolm Whiteway has authored 192 papers receiving a total of 11.2k indexed citations (citations by other indexed papers that have themselves been cited), including 150 papers in Molecular Biology, 99 papers in Infectious Diseases and 52 papers in Epidemiology. Recurrent topics in Malcolm Whiteway's work include Fungal and yeast genetics research (108 papers), Antifungal resistance and susceptibility (99 papers) and Fungal Infections and Studies (51 papers). Malcolm Whiteway is often cited by papers focused on Fungal and yeast genetics research (108 papers), Antifungal resistance and susceptibility (99 papers) and Fungal Infections and Studies (51 papers). Malcolm Whiteway collaborates with scholars based in Canada, United States and China. Malcolm Whiteway's co-authors include David Y. Thomas, Daniel Dignard, André Nantel, Ekkehard Leberer, Doreen Harcus, Catherine Bachewich, Cunle Wu, Hervé Hogues, Anne Marcil and Adnane Sellam and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Malcolm Whiteway

189 papers receiving 11.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Malcolm Whiteway Canada 59 7.4k 4.8k 3.0k 1.7k 1.5k 192 11.2k
César Nombela Spain 55 6.6k 0.9× 4.3k 0.9× 2.8k 0.9× 2.8k 1.6× 1.2k 0.8× 199 10.6k
Karl Kuchler Austria 58 5.2k 0.7× 3.2k 0.7× 2.4k 0.8× 1.7k 1.0× 1.3k 0.8× 170 10.1k
Judith Berman United States 63 6.3k 0.9× 7.2k 1.5× 5.4k 1.8× 3.2k 1.9× 1.7k 1.1× 185 13.7k
Leah E. Cowen Canada 51 3.9k 0.5× 6.2k 1.3× 4.2k 1.4× 1.7k 1.0× 858 0.6× 156 10.1k
Frans M. Klis Netherlands 67 9.3k 1.3× 4.0k 0.8× 2.7k 0.9× 5.6k 3.3× 1.9k 1.2× 161 14.6k
Robert A. Cramer United States 48 2.6k 0.3× 2.8k 0.6× 1.8k 0.6× 2.1k 1.2× 1.0k 0.7× 133 6.5k
Brendan P. Cormack United States 36 4.5k 0.6× 2.3k 0.5× 1.7k 0.6× 962 0.6× 530 0.3× 61 7.2k
Luiz R. Travassos Brazil 59 3.8k 0.5× 3.3k 0.7× 6.2k 2.1× 1.5k 0.9× 1.2k 0.8× 241 11.0k
Daniel Dignard Canada 33 3.7k 0.5× 1.8k 0.4× 1.3k 0.4× 710 0.4× 1.1k 0.7× 46 5.1k
Márcio L. Rodrigues Brazil 53 3.8k 0.5× 4.2k 0.9× 5.4k 1.8× 1.9k 1.1× 1.0k 0.7× 225 9.5k

Countries citing papers authored by Malcolm Whiteway

Since Specialization
Citations

This map shows the geographic impact of Malcolm Whiteway's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Malcolm Whiteway with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Malcolm Whiteway more than expected).

Fields of papers citing papers by Malcolm Whiteway

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Malcolm Whiteway. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Malcolm Whiteway. The network helps show where Malcolm Whiteway may publish in the future.

Co-authorship network of co-authors of Malcolm Whiteway

This figure shows the co-authorship network connecting the top 25 collaborators of Malcolm Whiteway. A scholar is included among the top collaborators of Malcolm Whiteway based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Malcolm Whiteway. Malcolm Whiteway is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Joshi, Jaya, et al.. (2025). Sequencing of a Dairy Isolate Unlocks Kluyveromyces marxianus as a Host for Lactose Valorization. ACS Synthetic Biology. 14(7). 2667–2680.
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Lu, Hui, et al.. (2023). Candidiasis: From cutaneous to systemic, new perspectives of potential targets and therapeutic strategies. Advanced Drug Delivery Reviews. 199. 114960–114960. 48 indexed citations
5.
Bagley, J., Michael E. Pyne, Kaspar Kevvai, et al.. (2023). Genome sequencing of 15 acid-tolerant yeasts. Microbiology Resource Announcements. 12(10). e0033723–e0033723. 1 indexed citations
6.
Pyne, Michael E., J. Bagley, Lauren Narcross, et al.. (2023). Screening non-conventional yeasts for acid tolerance and engineering Pichia occidentalis for production of muconic acid. Nature Communications. 14(1). 5294–5294. 23 indexed citations
7.
Costa, Anna Carolina Borges Pereira, et al.. (2022). A Deep Learning Approach to Capture the Essence of Candida albicans Morphologies. Microbiology Spectrum. 10(5). e0147222–e0147222. 6 indexed citations
8.
Bean, Björn D. M., Daniel R. Boutz, Andrew D. Ellington, et al.. (2022). Functional expression of opioid receptors and other human GPCRs in yeast engineered to produce human sterols. Nature Communications. 13(1). 2882–2882. 17 indexed citations
9.
Bean, Björn D. M., Malcolm Whiteway, & Vincent J. J. Martin. (2022). The MyLO CRISPR-Cas9 toolkit: a markerless yeast localization and overexpression CRISPR-Cas9 toolkit. G3 Genes Genomes Genetics. 12(8). 12 indexed citations
10.
Ramírez‐Zavala, Bernardo, et al.. (2021). The zinc cluster transcription factor Rha1 is a positive filamentation regulator in Candida albicans. Genetics. 220(1). 5 indexed citations
11.
Feng, Yuting, et al.. (2020). Loss of Arp1, a putative actin-related protein, triggers filamentous and invasive growth and impairs pathogenicity in Candida albicans. Computational and Structural Biotechnology Journal. 18. 4002–4015. 4 indexed citations
12.
Polvi, Elizabeth J., Amanda O. Veri, Zhongle Liu, et al.. (2019). Functional divergence of a global regulatory complex governing fungal filamentation. PLoS Genetics. 15(1). e1007901–e1007901. 13 indexed citations
13.
Veri, Amanda O., Zhengqiang Miao, Rebecca S. Shapiro, et al.. (2018). Tuning Hsf1 levels drives distinct fungal morphogenetic programs with depletion impairing Hsp90 function and overexpression expanding the target space. PLoS Genetics. 14(3). e1007270–e1007270. 38 indexed citations
14.
Anderson, Matthew Z., et al.. (2017). Epigenetic control of pheromone MAPK signaling determines sexual fecundity in Candida albicans. Proceedings of the National Academy of Sciences. 114(52). 13780–13785. 14 indexed citations
15.
Ma, Biao, Shih‐Jung Pan, Tracey Rigby, et al.. (2009). High-Affinity Transporters for NAD + Precursors in Candida glabrata Are Regulated by Hst1 and Induced in Response to Niacin Limitation. Molecular and Cellular Biology. 29(15). 4067–4079. 22 indexed citations
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Dumitru, ‎Raluca, Dhammika H. Navarathna, Camile P. Semighini, et al.. (2007). In Vivo and In Vitro Anaerobic Mating in Candida albicans. Eukaryotic Cell. 6(3). 465–472. 79 indexed citations
18.
Bachewich, Catherine & Malcolm Whiteway. (2005). Cyclin Cln3p Links G 1 Progression to Hyphal and Pseudohyphal Development in Candida albicans. Eukaryotic Cell. 4(1). 95–102. 66 indexed citations
19.
Cowen, Leah E., André Nantel, Malcolm Whiteway, et al.. (2002). Population genomics of drug resistance in Candida albicans. Proceedings of the National Academy of Sciences. 99(14). 9284–9289. 102 indexed citations
20.
Whiteway, Malcolm & Asad Ahmed. (1984). Recombinational Instability of a Chimeric Plasmid in Saccharomyces cerevisiae. Molecular and Cellular Biology. 4(1). 195–198. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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